Senior AI Engineer - Enterprise ML & MLOps Leader

Allianz Commercial; Barcelona; Híbrido; EUR 53.000 - 57.000; Jornada completa

Descripción de la vacante

UL Solutions seeks a Senior AI Engineer to lead the design, delivery, and continuous improvement of scalable AI solutions that deliver measurable business value. You will translate business needs into production-ready AI systems and enterprise integrations with clear outcomes on Azure, applying MLOps practices.

You will mentor engineers, influence technical direction, and collaborate across product, engineering, and platform teams to achieve governance and responsible AI goals.

Formación

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• 5+ years of experience developing software, AI, machine learning, cloud, or data-driven solutions.
• Strong Python software engineering experience using modern development practices.
• Experience designing and delivering scalable, secure, and maintainable software and AI solutions.
• Experience with cloud platforms, preferably Microsoft Azure.
• Experience with Azure DevOps, CI/CD, Infrastructure as Code (IaC), MLOps, and deployment automation.
• Experience developing distributed systems, APIs, and enterprise integrations.
• Experience with Docker, Kubernetes (K8s), and containerized deployment.
• Experience with LLMs, RAG, document intelligence, and related AI technologies.
• Strong analytical, problem-solving, communication, and collaboration skills.

Responsabilidades

• Lead the design, delivery, and continuous improvement of scalable AI solutions, products, frameworks, and capabilities that deliver measurable business value.
• Translate business needs into production-ready AI systems and enterprise integrations with clear outcomes and success metrics.
• Design, deploy, and operate scalable AI platforms and solutions on Azure using DevOps and MLOps practices.
• Manage the full lifecycle of AI applications, platforms, and models, including deployment, monitoring, and governance.
• Collaborate with product, engineering, platform, and business teams to deliver AI solutions aligned with objectives.
• Provide technical leadership, mentorship, and drive engineering best practices and security considerations.

Conocimientos

Python

Azure

Kubernetes

CI/CD

MLOps

Docker

LLMs

RAG

Document Intelligence

Educación

Bachelor's degree in Computer Science

Bachelor's degree in Software Engineering

Master's degree in Computer Science or AI

Herramientas

Azure

Azure DevOps

CI/CD pipelines

Docker

Kubernetes

Descripción del empleo

UL Solutions seeks a Senior AI Engineer to lead the design, delivery, and continuous improvement of scalable AI solutions that deliver measurable business value. You will translate business needs into production-ready AI systems and enterprise integrations with clear outcomes on Azure, applying MLOps practices.

You will mentor engineers, influence technical direction, and collaborate across product, engineering, and platform teams to achieve governance and responsible AI goals.